SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 165,000 - 200,000 / annual
DEFCON AI is an insights company leveraging artificial intelligence, mathematical optimization, data analytics, and software engineering to optimize complex systems for resilience and better decision-making in the face of disruption.
As a Senior Data Platform Engineer, you will own the durable view of every resolved entity on the platform—the storage layer that preserves what is known, where each fact originated, confidence levels, and how the picture has changed over time. Rather than collapsing disagreements between sources, both are retained with their evidence. When asked what the platform believed about an entity on a given date and why, the system can answer with full traceability.
You'll join the analytics and AI engineering team behind a system that ingests records from dozens of disparate sources, resolves them to the correct entity, highlights what analysts should review first, and provides transparent, explainable recommendations users can trust. Operating within a secure government cloud environment, the platform depends on a storage layer that never silently erases disagreement between sources.
Key responsibilities include:
- Design and build the storage layer that preserves source disagreement and history rather than resolving them away at write time
- Build the first release's result and evidence store: saved per-person results linked to originating records, prior results and human feedback retained separately, and configuration versions on every result
- Implement provenance and lineage across every node and edge against the platform's evidence-record contract
- Store the versioned rule library and configuration, recording on every result the exact rule versions and ordered context supplied to any model-assisted step
- Ensure every write is traceable to its origin and every decision is reproducible
- Carry match confidence and other uncertainty forward through the platform rather than collapsing it into a single value
- Support point-in-time questions: what did we believe about this entity on this date, and on what evidence
- Define, with entity resolution and ML teammates, what the storage layer needs to receive and what it must serve downstream
The role emphasizes judgment over tooling breadth: knowing why you never overwrite, and being able to reconstruct a past decision with its evidence a year later. If your instinct when records disagree is to preserve both and let a human decide, you'll be at home here.
This is a fully remote role with occasional travel to DEFCON AI headquarters, customer sites, and partner facilities as needed.
REQUIREMENTS:
- 6+ years in data engineering or data platform engineering, including production experience with versioned, temporal, or historized data models
- [Additional qualifications listed in full posting but truncated in excerpt provided]
